Sign up for the daily CJR newsletter. Who will win the presidential election next Tuesday? Until recently, the market for analysis of questions like these has been ...

This paper is concerned with inequalities connecting probabilities of hypotheses using Bayes' theorem (a posteriori probabilities), a priori probabilities, and Kullback-Leibler information-statistics ...

Neuroscientist Sam Wang says that predicting vote winners is easy if you understand median-based statistics, probabilities and some Bayesian statistics Aside from the main outcome of last week’s US ...

Learn how prior probability informs economic theory and decision-making in Bayesian statistics. Understand its role before collecting new data.

Everyone who spends time with children knows how incredibly much they learn. But how can babies and young children possibly learn so much so quickly? In a recent article in Science, I describe a ...